Tootfinder

Italiens Staatsbahn erwägt Einstieg ins Fernverkehrsgeschäft
Die italienische Staatsbahn denkt über einen Einstieg ins deutsche Fernverkehrsgeschäft nach – und würde dort der Deutschen Bahn Konkurrenz machen.

Google says Gemini 2.5 Flash Image, aka Nano Banana, is now generally available and supports more aspect ratios, priced at $0.039/image and $30/1M output tokens (Google Developers Blog)
https://developers.googleblog.com/en/gemini-2…

Gemini 2.5 Flash Image now ready for production with new aspect ratios- Google Developers Blog
Our state-of-the-art image generation and editing model which has captured the imagination of the wo...

https://cyberscoop.com/ianis-antropenko-zeppelin-ransomware-russian-cybercrime/
“Ianis Aleksandrovich Antropenko exemplifies the profile of a modern cybercriminal, yet, unlike many others who have faced strict prosecution for similar offenses, the …

Veep creator Armando Iannucci says he is struggling to raise funding for a project based on Trump's speeches amid fears of MAGA retribution (Jake Kanter/Deadline)
https://deadline.com/2025/09/veep-armando-iannucci-trump-fund-1236565968/

‘Veep’ Creator Armando Iannucci Struggling To Fund Trump Project Amid MAGA Retribution Fears
Armando Iannucci, the showrunner behind HBO's 'Veep' and 'Avenue 5,' has revealed that he has struggled to raise funding for a Donald Trump project.

ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning
Yuxiang Guo, Jiang Liu, Ze Wang, Hao Chen, Ximeng Sun, Yang Zhao, Jialian Wu, Xiaodong Yu, Zicheng Liu, Emad Barsoum
https://arxiv.org/abs/2510.01010

ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning
The rapid advancement of text-to-image (T2I) models has increased the need for reliable human preference modeling, a demand further amplified by recent progress in reinforcement learning for preference alignment. However, existing approaches typically quantify the quality of a generated image using a single scalar, limiting their ability to provide comprehensive and interpretable feedback on image quality. To address this, we introduce ImageDoctor, a unified multi-aspect T2I model evaluation fr…

EditTrack: Detecting and Attributing AI-assisted Image Editing
Zhengyuan Jiang, Yuyang Zhang, Moyang Guo, Neil Zhenqiang Gong
https://arxiv.org/abs/2510.01173 https://

EditTrack: Detecting and Attributing AI-assisted Image Editing
In this work, we formulate and study the problem of image-editing detection and attribution: given a base image and a suspicious image, detection seeks to determine whether the suspicious image was derived from the base image using an AI editing model, while attribution further identifies the specific editing model responsible. Existing methods for detecting and attributing AI-generated images are insufficient for this problem, as they focus on determining whether an image was AI-generated/edit…

https://www.noen.at/image/3840x0-jpg/6005924/img-jrfNO5enj0h2zJmX.png

NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution
Xiangtao Kong, Rongyuan Wu, Shuaizheng Liu, Lingchen Sun, Lei Zhang
https://arxiv.org/abs/2510.00820

NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution
Most recent real-world image super-resolution (Real-ISR) methods employ pre-trained text-to-image (T2I) diffusion models to synthesize the high-quality image either from random Gaussian noise, which yields realistic results but is slow due to iterative denoising, or directly from the input low-quality image, which is efficient but at the price of lower output quality. These approaches train ControlNet or LoRA modules while keeping the pre-trained model fixed, which often introduces over-enhance…

People acquires Feedfeed, a food publisher and creator network with ~1,000 influencer partners, its first acquisition since the 2021 Dotdash/Meredith merger (Sara Fischer/Axios)
https://www.axios.com/2025/10/01/people-inc-acquires-feedfeed

People Inc. acquires Feedfeed
The deal will increase People Inc.'s exposure to the vast world of creator partnerships.

FlashI2V: Fourier-Guided Latent Shifting Prevents Conditional Image Leakage in Image-to-Video Generation
Yunyang Ge, Xinhua Cheng, Chengshu Zhao, Xianyi He, Shenghai Yuan, Bin Lin, Bin Zhu, Li Yuan
https://arxiv.org/abs/2509.25187

FlashI2V: Fourier-Guided Latent Shifting Prevents Conditional Image Leakage in Image-to-Video Generation
In Image-to-Video (I2V) generation, a video is created using an input image as the first-frame condition. Existing I2V methods concatenate the full information of the conditional image with noisy latents to achieve high fidelity. However, the denoisers in these methods tend to shortcut the conditional image, which is known as conditional image leakage, leading to performance degradation issues such as slow motion and color inconsistency. In this work, we further clarify that conditional image l…